Senior Data Platform Engineer - Scalable Cloud Backend

lplfinancial; New York (NY); On-site; USD 140,000 - 210,000; Full time

Job summary

LPL Financial is seeking an AVP Software Engineer in Data Technology to design and build scalable Python-based backend services and data pipelines on AWS. The role emphasizes batch processing, data enrichment, and robust observability within a modern data platform.

The ideal candidate will bring deep Python expertise, experience with React for dashboards, and a track record of delivering cloud-native solutions in enterprise environments.

Qualifications

• 7+ years of professional software engineering experience, with deep Python backend expertise and React/JavaScript familiarity.
• 5+ years designing scalable backend services, REST APIs, and distributed systems in enterprise environments.
• 5+ years developing cloud-native applications on AWS, with hands-on production workloads.

Responsibilities

• Design, develop, and maintain scalable Python-based backend services for enterprise data integration and distribution.
• Build and enhance data pipeline frameworks supporting batch ingestion, transformation, and orchestration.
• Develop cloud-native apps using AWS serverless technologies (Lambda, DynamoDB, API Gateway, EventBridge, SQS, Step Functions).
• Create reusable integration patterns between source systems, data platforms, and consuming apps.
• Improve observability, monitoring, and operational resilience across data pipelines and services.

Skills

Python backend

React

REST APIs

AWS serverless

Data pipelines

Tools

AWS Lambda

DynamoDB

API Gateway

EventBridge

SQS

Step Functions

Snowflake

Airflow

Databricks

React dev tooling

Job description

LPL Financial is seeking an AVP Software Engineer in Data Technology to design and build scalable Python-based backend services and data pipelines on AWS. The role emphasizes batch processing, data enrichment, and robust observability within a modern data platform.

The ideal candidate will bring deep Python expertise, experience with React for dashboards, and a track record of delivering cloud-native solutions in enterprise environments.